Follow-up attendance and documented reasons for non-attendance in child and adolescent mental health care: a retrospective analysis

BackgroundFailure to continue scheduled follow-up is a common challenge in child and adolescent mental health services and may reduce treatment effectiveness.ObjectiveThe present retrospective study aimed to examine demographic, clinical, and treatment-related characteristics associated with attendance at the last scheduled follow-up appointment among children and adolescents receiving outpatient psychiatric care and to identify characteristics associated with the documented reasons for non-attendance among patients who missed their last scheduled follow-up appointment.MethodsA retrospective study was conducted using medical records of 841 patients aged 1–18 years who attended a tertiary child and adolescent psychiatry outpatient clinic between 2015 and 2026. Demographic, clinical, and treatment-related characteristics were summarized descriptively. Associations between categorical variables were examined using Pearson’s chi-square test, and effect sizes were reported using Cramér’s V.ResultsOf the 841 patients, 142 had no scheduled follow-up appointment and were excluded from the attendance analysis. Among the remaining 699 patients, 56.8% attended their last scheduled follow-up appointment. No significant associations were observed between attendance and the demographic, clinical, or treatment-related characteristics examined. Among the 302 non-attendees, unspecified reasons (36.8%) and scheduling conflicts (17.5%) were most frequent. Documented reasons for non-attendance were significantly associated with medication prescription status (χ² = 9.749, p = 0.008, Cramér’s V = 0.181) and drug class (χ² = 10.202, p = 0.037, Cramér’s V = 0.130).ConclusionsLast scheduled follow-up attendance was not significantly associated with the demographic, clinical, or treatment-related characteristics examined. Among non-attendees, documented reasons for non-attendance were associated with medication prescription status and drug class. Systematic documentation of non-attendance reasons may help identify barriers to continuity of care and inform targeted follow-up strategies.

Remotely Supervised, Home-Based Transcranial Direct Current Stimulation for Major Depressive Disorder: Systematic Review and Meta-Analysis

Background: Major depressive disorder affects over 280 million people worldwide, and access to effective treatment remains limited. Transcranial direct current stimulation (tDCS) is a noninvasive option, and portable devices now allow for home-based delivery under varying degrees of remote supervision. Objective: This study aimed to systematically review and meta-analyze the efficacy, safety, feasibility, and acceptability of home-based and remotely supervised tDCS for depressive disorders. Methods: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 and PRISMA-S (Preferred Reporting Items for Systematic Reviews and Meta-Analyses literature search extension) guidelines, we searched MEDLINE, Embase, Web of Science, the Cochrane databases, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry Platform up to July 2025, with backward and forward citation searching. Two reviewers independently screened records, extracted data, and assessed risk of bias (version 2 of the Cochrane risk-of-bias tool for randomized trials, Newcastle-Ottawa Scale for observational studies, and Critical Appraisal Skills Programme for qualitative studies) and certainty of evidence (Grading of Recommendations Assessment, Development, and Evaluation; GRADE). Results: This review included 12 distinct studies (16 reports), of which 6 (50%) were randomized sham-controlled trials forming the meta-analytic pool. Active home-based tDCS produced a small, statistically significant improvement over sham (pooled Hedges =0.36, 95% CI 0.06-0.66; =.03; =34.3%). The effect was not robust to removal of the single largest positive trial (omitting the one study from 2025: =0.39, 95% CI −0.12 to 0.91), and trial-level results were mixed: the 2 largest trials (one unsupervised [n=210] and one self-administered [n=141]) were negative on their primary depression outcomes, whereas the largest real-time supervised trial (n=174) was positive (between-group 95% CI 0.51‐4.01; =.01). This estimate was concordant in direction with an independent peer-reviewed meta-analysis of overlapping trials, which reported a pooled Montgomery-Åsberg Depression Rating Scale reduction (weighted mean difference −2.74, 95% CI −4.19 to −1.29) and Hamilton Depression Rating Scale reduction (weighted mean difference −2.24, 95% CI −4.16 to −1.49), attenuating to nonsignificance (>.05) in major depressive disorder without comorbid cognitive impairment. The pooled effect fell at or near the minimal clinically important difference. GRADE certainty was moderate. Adverse events were predominantly mild: one pilot study was terminated early for skin lesions, and one nonfatal suicide attempt occurred in an unsupervised trial. Conclusions: Home-based and remotely supervised tDCS produces a small, statistically significant but clinically modest antidepressant effect that is sensitive to the inclusion of the largest positive trial, with the 2 largest trials being negative. The available controlled evidence does not establish supervision intensity as a determinant of efficacy. Current data are insufficient to recommend routine clinical adoption; adequately powered trials with standardized supervision and longer follow-up are needed. Trial Registration: PROSPERO registration number CRD420251109275; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251109275

Gene alteration in human brain suggests genetic and epigenetic roots of major depression

Nature Medicine, Published online: 03 September 2026; doi:10.1038/s41591-026-04682-2

A large, multimodal molecular characterization of the adult human hippocampus provides evidence for sustained neurogenesis and identifies a stalled neurogenic process in major depressive disorder (MDD). Cell- and circuit-specific genetic, epigenetic, stress, immune, metabolic and synaptic mechanisms are identified that underlie impaired hippocampal plasticity, providing a framework for disease subtyping and therapeutic development.